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pyoperon\n\n[![License](https://img.shields.io/github/license/heal-research/pyoperon)](https://github.com/heal-research/pyoperon/blob/master/LICENSE)\n[![build-linux](https://github.com/heal-research/pyoperon/actions/workflows/build-linux.yml/badge.svg?branch=main)](https://github.com/heal-research/pyoperon/actions/workflows/build-linux.yml)\n[![build-macos](https://github.com/heal-research/pyoperon/actions/workflows/build-macos.yml/badge.svg?branch=main)](https://github.com/heal-research/pyoperon/actions/workflows/build-macos.yml)\n[![Matrix chat](https://matrix.to/img/matrix-badge.svg)](https://matrix.to/#/#operon:matrix.org)\n\n**pyoperon** is the python bindings library of [**Operon**](https://github.com/heal-research/operon), a modern C++ framework for symbolic regression developed by [Heal-Research](https://github.com/heal-research) at the University of Applied Sciences Upper Austria.\n\nA scikit-learn regressor is also available:\n```python\nfrom pyoperon.sklearn import SymbolicRegressor\n```\n\nThe [example](https://github.com/heal-research/pyoperon/tree/main/example) folder contains sample code for using either the Python bindings directly or the **pyoperon.sklearn** module.\n\n# Installation\n\nNew releases are published on [github](https://github.com/heal-research/pyoperon/releases/) and on [PyPI](https://pypi.org/project/pyoperon/).\n\nMost of the time `pip install pyoperon` should be enough.\n\n## Building from source\n\n### Conda/Mamba\n\n1. Clone the repository\n\n```bash\ngit clone https://github.com/heal-research/pyoperon.git\ncd pyoperon\n```\n\n2. Install and activate the environment (replace `micromamba` with your package manager)\n\n```bash\nmicromamba env create -f environment.yml\nmicromamba activate pyoperon\n```\n\n3. Build the C++ dependencies and install `pyoperon`\n\n```bash\nexport CC=clang\nexport CXX=clang++\npython script/dependencies.py\npip install . --no-build-isolation\n```\n\n### Nix\n\nThe repository includes a `flake.nix` with a development shell that provides all C++ and Python dependencies.\n\n1. Clone the repository\n\n```bash\ngit clone https://github.com/heal-research/pyoperon.git\ncd pyoperon\n```\n\n2. Enter the dev shell and install `pyoperon` into a virtual environment\n\n```bash\nnix develop .#pyenv\nvirtualenv --system-site-packages .venv\nsource .venv/bin/activate\npip install scikit-build-core\npip install --no-build-isolation .\n```\n\n3. Run the tests (optional)\n\n```bash\npip install --no-build-isolation '.[test]'\npytest tests/ -v\n```\n\n\n# Contributing\n\nSee the [CONTRIBUTING](CONTRIBUTING.md) document.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fheal-research%2Fpyoperon","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fheal-research%2Fpyoperon","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fheal-research%2Fpyoperon/lists"}